Recently ehealth technologies are becoming an overwhelming aspect of public health services that provides seamless access to healthcare information. Machine learning tools associated with IoT technology play important role in developing such technologies. This paper proposes a decision support system-based system (DSS) make diagnosis cardiovascular diseases. It uses deep approaches classify ele...

Our main goal is to develop a cardiovascular disease (CVD) risk prediction model using supervised learning classifiers that can be used in expert decision with maximum accuracy whether heart present or not. It will prove very important medicine for the diagnosis of diseases such as attack, failure, stroke and other diseases. If predictions give good results sufficient accuracy, we not only avoi...

BACKGROUND Various studies show major regional differences in the prevalence of cardio-vascular disease morbidity and mortality, both in Europe and within European countries. In Austria, these differences are documented by an East-West gradient with declining morbidity and mortality rates when moving from the East to the West of the country. It was the aim of this study to analyse if, and to wh...

Morbidity and mortality in cardio-vascular diseases can be described as an ongoing epidemic, although a very protracted one, lasting more than 100 years. Cardiovascular diseases still top mortality rates in the world today, accounting for about 30% of all deaths around the globe. But it is in the industrialized world that cardio-vascular diseases dominate, although differences are great among v...